Also referred to as: Algorithm Engineering Senior Manager, Artificial Intelligence Engineering Senior Manager, Machine Learning Engineering Senior Manager
Requirements and Responsibilities

AI Engineering Senior Manager oversees and manages the design and development of scalable solutions using AI tools and machine learning models. Leads a team that is responsible for the scalability, reliability, and performance of AI systems. Being an AI Engineering Senior Manager monitors the development and execution of performance tests on AI systems that measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance. Performs research and testing to develop machine learning algorithms and predictive models. Additionally, AI Engineering Senior Manager utilizes big data computation and storage tools to create prototypes and datasets. Proficient in big data tools, cloud platforms, and machine learning. Requires a bachelor's degree in computer science or related degree. Typically reports to a director. The AI Engineering Senior Manager typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. To be an AI Engineering Senior Manager typically requires 3+ years of managerial experience. Capable of resolving escalated issues arising from operations and requiring coordination with other departments.

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